Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Echo01:06

Echo

952
The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case,...
952
Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Protein Networks02:26

Protein Networks

2.8K
2.8K
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.5K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.5K
Network Covalent Solids02:18

Network Covalent Solids

16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Bioavailability Study Design: Single Versus Multiple Dose Studies01:11

Bioavailability Study Design: Single Versus Multiple Dose Studies

232
Bioavailability studies are essential for understanding how a drug is absorbed, distributed, metabolized, and excreted in the body. These studies assess the extent and rate at which the active pharmaceutical agent becomes available at the site of action. The design of bioavailability studies can involve single-dose or multiple-dose regimens, each with distinct advantages and limitations.Single-dose studies are the preferred approach due to their simplicity and reduced drug exposure for...
232

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Age-Specific Contrast Optimization of bSSFP in Fetal Brain.

Magnetic resonance in medicine·2026
Same author

FlexCENT: A frequency-flexible CEST imaging network combining frequency offset encoding and three-dimensional U-Net.

Magnetic resonance letters·2026
Same author

Rapid multi-parametric quantitative MRI via deep learning-based synthetic-to-real reconstruction and 3D SSFP-MOLED imaging.

NeuroImage·2026
Same author

Ultrafast Infant Brain Quantitative MRI Using Overlapping-Echo Acquisition with Volumetric Physical Simulation of Slice-level Non-Idealities.

IEEE transactions on bio-medical engineering·2026
Same author

Source-Free Active Domain Adaptation for Brain Tumor Segmentation via Mamba and Region-Level Uncertainty.

Brain sciences·2026
Same author

Multimodal MRI integrating anti-motion multi-parametric mappings for investigating subcortical nuclei microstructural alterations in Huntington's disease.

Journal of Huntington's disease·2026

Related Experiment Video

Updated: Jan 29, 2026

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

10.0K

Robust Single-Shot T2 Mapping via Multiple Overlapping-Echo Acquisition and Deep Neural Network.

Jun Zhang, Jian Wu, Shaojian Chen

    IEEE Transactions on Medical Imaging
    |February 5, 2019
    PubMed
    Summary
    This summary is machine-generated.

    A new method called MOLED-4 enables rapid, quantitative T2 mapping using magnetic resonance imaging (MRI) in milliseconds. This technique overcomes limitations of traditional MRI, offering potential for advanced dynamic imaging and clinical diagnosis.

    More Related Videos

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    1.1K
    Measurement of Tumor T2* Relaxation Times after Iron Oxide Nanoparticle Administration
    05:30

    Measurement of Tumor T2* Relaxation Times after Iron Oxide Nanoparticle Administration

    Published on: May 19, 2023

    1.8K

    Related Experiment Videos

    Last Updated: Jan 29, 2026

    Deep Neural Networks for Image-Based Dietary Assessment
    13:19

    Deep Neural Networks for Image-Based Dietary Assessment

    Published on: March 13, 2021

    10.0K
    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    1.1K
    Measurement of Tumor T2* Relaxation Times after Iron Oxide Nanoparticle Administration
    05:30

    Measurement of Tumor T2* Relaxation Times after Iron Oxide Nanoparticle Administration

    Published on: May 19, 2023

    1.8K

    Area of Science:

    • Medical Imaging
    • Biophysics
    • Artificial Intelligence in Medicine

    Background:

    • Quantitative magnetic resonance imaging (MRI) is crucial for clinical diagnosis and research.
    • Current dynamic MRI methods are often qualitative, slow, and prone to motion artifacts due to repeated sampling.
    • Existing MRI acceleration techniques like compressed sensing and parallel imaging have limitations for quantitative mapping.

    Purpose of the Study:

    • To introduce a novel single-shot quantitative T2 mapping method (MOLED-4) for rapid and reliable imaging.
    • To accelerate quantitative T2 mapping beyond traditional approaches by integrating synchronized multisampling and deep learning.
    • To address the challenge of mapping complex nonlinear relationships in quantitative MRI.

    Main Methods:

    • Developed MOLED-4, a single-shot quantitative T2 mapping technique utilizing multiple overlapping-echo acquisition.
    • Employed synchronized multisampling to accelerate data acquisition.
    • Applied deep learning to model the intricate nonlinear relationships inherent in quantitative T2 mapping.
    • Validated the method using simulations, phantom studies, and in vivo human brain imaging.

    Main Results:

    • MOLED-4 successfully achieved reliable T2 mapping in milliseconds.
    • The method demonstrated superior performance compared to traditional optimization-based techniques.
    • Simulation, phantom, and in vivo results confirmed the efficacy and accuracy of MOLED-4.
    • The deep learning approach effectively captured complex nonlinearities in the quantitative mapping process.

    Conclusions:

    • MOLED-4 provides an ultrafast and reliable solution for quantitative T2 mapping.
    • The proposed method overcomes key limitations of conventional dynamic MRI, enhancing efficiency and motion artifact resilience.
    • The underlying principle of MOLED-4 holds promise for extending to other ultrafast quantitative parameter mappings.
    • This advancement could enable new, highly efficient dynamic MRI techniques for tracking tissue property variations.